Question about Source Probability in MCNP

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SUMMARY

The discussion focuses on the concept of source probability (SP) in the MCNP (Monte Carlo N-Particle Transport Code) simulation software. It clarifies that values in SP3 and SP4 exceeding 1 indicate that SP is not a conventional probability but rather a normalized representation. MCNP automatically normalizes these values, enhancing usability by allowing users to input simpler values for equally likely bins without recalculating the entire set when adding new bins. This feature significantly streamlines the process of defining source probabilities in simulations.

PREREQUISITES
  • Understanding of MCNP (Monte Carlo N-Particle Transport Code) version 6 or later
  • Familiarity with source probability concepts in simulation software
  • Knowledge of material card inputs and their formatting in MCNP
  • Basic principles of probability normalization
NEXT STEPS
  • Explore MCNP documentation on source probability normalization
  • Learn about defining material card inputs in MCNP
  • Research best practices for setting up bins in MCNP simulations
  • Study examples of probability distributions in Monte Carlo simulations
USEFUL FOR

Researchers, nuclear engineers, and simulation analysts who utilize MCNP for particle transport simulations and require a deeper understanding of source probability normalization and its implications on usability.

Anisur Rahman
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TL;DR
MCNP Source Specification
1697362458440.png

Here, SP stands for source probability. But probability needs to be normalized. Here values in SP3, SP4 are larger than 1, It means that SP is not ordinary probability here. But what actually SP represent here?
 
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MCNP will normalise them for you. If you have say three bins that are equally likely you can just write 1 1 1 instead of 0.33333 0.33333 0.33334 and if you add a fourth bin you don't have to redo the whole lot. Some of the material card inputs can be decimal percentages and again MCNP will normalise them. So your thinking is right but automatically normalising contributes a lot to the usability of the program.
 
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